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Mapping the Research Software Ecosystem

Authors: Ram, Karthik; Howison, James;

Mapping the Research Software Ecosystem

Abstract

Software is crucial to science and scholarship, offering leverage in improving individual research and collaboration within a scientific field. Good research software can have considerable science impacts but the research software ecosystem is beset with many problems. Two of the bigger challenges are visibility and discoverability. It is surprisingly hard to know who is using what software in research. Unlike commercial software, software producers cannot turn to their accounting department, nor do they have sales engineers consulting with clients. Formal citations in scientific publications cannot reliably provide evidence of software use as software is rarely cited properly or consistently, and scientific workflows are rarely made available with publications. Software use therefore lacks visibility. This makes it hard for individuals to demonstrate their contribution to research, hard for institutions to reward or recruit for software-based impact, hard for scientific fields to build needed software, and hard for science funders to know which scientific software to fund. In this hour we welcome research software maintainers to join us and learn more about the challenges and benefits of increasing visibility for their work and collectively uncover gaps that need to be filled. We'll start the discussion with short presentations on the state of the field followed by spirited discussion.

Keywords

software, software-map

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
4
9
Green